z-logo
open-access-imgOpen Access
Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data
Author(s) -
Ki Jin Ryu,
Kyong Wook Yi,
Yong Jin Kim,
Jung Ho Shin,
Jun Young Hur,
Tak Kim,
Jong Bae Seo,
Kwang-Sig Lee,
Hyuntae Park
Publication year - 2021
Publication title -
journal of korean medical science/journal of korean medical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 66
eISSN - 1598-6357
pISSN - 1011-8934
DOI - 10.3346/jkms.2021.36.e122
Subject(s) - insulin resistance , medicine , machine learning , carcinoembryonic antigen , lactate dehydrogenase , lipid profile , menopause , endocrinology , diabetes mellitus , algorithm , oncology , cholesterol , cancer , computer science , biology , biochemistry , enzyme

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here